Results 41 to 50 of about 152,595 (295)

The role of human factors in stereotyping behavior and perception of digital library users: A robust clustering approach [PDF]

, 2007
To deliver effective personalization for digital library users, it is necessary to identify which human factors are most relevant in determining the behavior and perception of these users.
Chen, SY, Frias-Martinez, E, Liu, X, Macredie, RD   +3 more
core   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

A Novel Hybrid SBM Clustering Method Based on Fuzzy Time Series

IEEE Access, 2023
With the development of machine learning algorithm and fuzzy theory, the fuzzy clustering algorithm based on time series has received more and more attention. Based on the time series theory and considering the correlation of data attributes, it proposes
Ren-Long Zhang, Xiao-Hong Liu
doaj   +1 more source

Image segmentation using fuzzy clustering incorporating spatial information [PDF]

, 2004
Effective image segmentation cannot be achieved for a fuzzy clustering algorithm based on using only pixel intensity, pixel locations or a combination of the two.
Ali, Ameer, Dooley, Laurence S., Karmakar, Gour C.   +2 more
core  

Fuzzy determination of informative frequency band for bearing fault detection [PDF]

, 2016
Detecting early faults in rolling element bearings is a crucial measure for the health maintenance of rotating machinery. As faulty features of bearings are usually demodulated into a high-frequency band, determining the informative frequency band (IFB ...
Abonyi, Antoni, Antoni, Arumugam, Barszcz, Bozchalooi, Cong, Fazendeiro, Flandrin, Ghasemloonia, Gryllias, Guo, He, Hou, Li, Li, Li, Li, Li, Li, Li, Niu, Obuchowski, Randall, Saidi, Stefanoiu, Su, Wang, Wang   +28 more
core   +1 more source

Cluster validity for fuzzy criterion clustering

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esogbue, A.O., Liu, Baoding
openaire   +1 more source

Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6

Advanced Engineering Materials, EarlyView.
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter, Thomas Wegener, Andreas Schilling, Martin Fehlbier, Thomas Niendorf   +4 more
wiley   +1 more source

Fuzzy Relational Fixed Point Clustering [PDF]

International Journal of Computational Intelligence Systems, 2009
The proposed relational fuzzy clustering method, called FRFP ( fuzzy relational fixed point), is based on determining a fixed point of a function of the desired membership matrix. The ethod is compared to other relational clustering methods.
Roelof K. Brouwer
doaj   +1 more source

RESAMPLING FOR FUZZY CLUSTERING [PDF]

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007
Resampling methods are among the best approaches to determine the number of clusters in prototype-based clustering. The core idea is that with the right choice for the number of clusters basically the same cluster structures should be obtained from subsamples of the given data set, while a wrong choice should produce considerably varying cluster ...
openaire   +2 more sources